Pushpalatha
K R
Software Systems Engineering at BITS
"Contextual understanding and response generation with high-dimensional embeddings using Generative Artificial Intelligence"
![]()
" alt="Jane Doe">
Pushpalatha
K R
Software Systems Engineering at BITS
"Contextual understanding and response generation with high-dimensional embeddings using Generative Artificial Intelligence"
Pushpalatha
K R
Software Systems Engineering at BITS
Wed May 21 - 7:50 AM EDT/New York (See in local time)
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05/21/2025 7:50 AM
05/21/2025 08:10 AM
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"Contextual understanding and response generation with high-dimensional embeddings using Generative Artificial Intelligence"
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#WTGC2025
"Contextual understanding and response generation with high-dimensional embeddings using Generative Artificial Intelligence"
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https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Contextual understanding and response generation with high-dimensional embeddings using Generative Artificial Intelligence"
Pushpalatha
K R
Software Systems Engineering at BITS
"Contextual understanding and response generation with high-dimensional embeddings using Generative Artificial Intelligence"
Pushpalatha
K R
Software Systems Engineering at BITS
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Session: Contextual understanding and response generation with high-dimensional embeddings using Generative Artificial Intelligence
The session focuses on the solution strategy that first encodes user inputs into high-dimensional embeddings to improve contextual understanding and response creation. The chat completion model, which combines strong semantic similarity capabilities with sophisticated language generation to enable precise and context-aware interactions, uses these embeddings for effective semantic search and retrieval of pertinent information.Key Takeaways
- High-Dimensional Embeddings for Contextual Understanding: User inputs are encoded into high-dimensional embeddings, capturing semantic nuances and contextual information, which enhances the model's ability to understand and respond accurately.
- Scalable Storage and Improved Prompt Engineering: Integrating a vector database enables scalable storage and retrieval of embeddings, while advanced prompt engineering optimizes the generation process, enhancing the model's accuracy and contextual awarene
Bio
Speaker has worked as a Software Systems Engineer with expertise knowledge and experience in Cloud Computing, Data Science and Artificial Intelligence. Speaker has presented technical talk in Data Science Summit and Imaging Summits at United States. Speaker has a passion for emerging technology and industry trends. She has contributed to Innovation with technical publications on Data Science, Imaging, Machine Learning and Artificial Intelligence.